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Computational Evolution Of Cognitive Architectures

by Iuliia Kotseruba e John K. Tsotsos

~~55,64€~~ 50,08€ 10% OFF

 What is the human mind, and how does it work? These questions have occupied humanity since antiquity but have only recently received rigorous scientific investigation. Cognitive architectures are complex software programs whose goal is to approach human-like behavior on a wide variety of tasks. This is accomplished by employing human-like, or at least human-plausible, mechanisms within an integrated framework that is claimed representative of human cognitive, perceptual, and movement capabilities. By examining how close their behavior is to human, they help us understand how the human mind and brain work. They contribute to our understanding as computational models that can be tested and whose details in turn provide insights on new aspects of the human brain and mind. This field of cognitive architectures emerged at the intersection of artificial intelligence and cognitive science and in less than fifty years has spawned hundreds of projects.In The Computational Evolution of Cognitive Architectures, the authors trace the evolution of cognitive architectures, their abilities, and future prospects, from their early logic-based beginnings to their recent melding of classic methodologies with deep learning concepts. Analyzing over 3000 publications on more than eighty cognitive architectures and hundreds more surveys, research papers, and opinion pieces spanning philosophy, cognitive science, computer science, and robotics, the authors aggregate their findings into broad themes, such as common components of the architectures, their organization, interaction, and relation to human cognitive abilities. They discuss both theoretical elements of cognitive architectures and their performance before finally considering the future of cognitive architectures and their challenges.
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Computational Models Of Reading - A Handbook

by Erik D. Reichle

46,36€ + 10% CARD

 This book is about computational models of reading, or models that explain (and often simulate) the mental processes that allow us to convert the marks on a printed page into the representations that allow us to understand the contents of what we are reading. Computational Models of Reading assumes no prior knowledge of the topic and is intended for psychologists, linguists, and educators who are interested in gaining a better understanding of what happens in the mind during reading. Erik D. Reichle includes introductory chapters on reading research and computational modelling, and the "core" chapters of the book review both important empirical findings and the models designed to explain those findings within four domains of reading research: word identification, sentence processing, discourse representation, and eye-movement control (which involves coordinating word, sentence, and discourse processing with the perceptual, cognitive, and motoric systems responsible for vision, attention, and eye movements). The final chapter of the book describes a new integrative model of reading, Über-Reader, and several simulations using the models that demonstrate how it explains several key reading phenomena.
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Natural Philosophy - From Social Brains To Knowledge, Reality, Morality, And Beauty (Treatise On Mind And Society)

by Paul Thagard

17,21€ + 10% CARD

 Paul Thagard uses new accounts of brain mechanisms and social interactions to forge theories of mind, knowledge, reality, morality, justice, meaning, and the arts. Natural Philosophy brings new methods for analyzing concepts, understanding values, and achieving coherence. It shows how to unify the humanities with the cognitive and social sciences.
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Mind-Society - From Brains To Social Sciences And Professions (Treatise On Mind And Society)

by Paul Thagard

22,51€ + 10% CARD

 How do minds make societies, and how do societies change? Paul Thagard systematically connects neural and psychological explanations of mind with major social sciences (social psychology, sociology, politics, economics, anthropology, and history) and professions (medicine, law, education, engineering, and business). Social change emerges from interacting social and mental mechanisms.
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Brain-Mind - From Neurons To Consciousness And Creativity (Treatise On Mind And Society)

by Paul Thagard

22,51€ + 10% CARD

 How do brains make minds? Paul Thagard's Brain-Mind presents a unified, brain-based theory of cognition and emotion with applications to the most complex kinds of thinking, right up to consciousness and creativity. Neural mechanisms are used to explain mental operations for analogy, action, intention, language, and the self.
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Exploring Robotic Minds - Actions, Symbols, And Consciousness As Self-Organizing Dynamic Phenomena

by Jun Tani

74,19€ + 10% CARD

 How do "minds" work? In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena, Jun Tani answers this fundamental question by reviewing his own pioneering neurorobotics research project.
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How Can The Human Mind Occur In The Physical Universe?

by John R. Anderson

27,81€ + 10% CARD

 The argument John Anderson gives in this book was inspired by the passage above, from the last lecture by one of the pioneers of cognitive science. Newell describes what, for him, is the pivotal question of scientific inquiry, and Anderson gives an answer that is emerging from the study of brain and behavior.
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Integrated Models Of Cognitive Systems

47,69€ + 10% CARD

 The field of cognitive modelling has progressed beyond modelling cognition in the context of simple laboratory tasks to those studied by researchers in the field of human-factors. This volume presents advances in the two main theories of control, as well as contrasts among approaches to human-performance models.
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In Order To Learn - How The Sequence Of Topics Influences Learning

80,81€ + 10% CARD

 The order that material, for both facts and skills, is presented or explored by a learner can influence what is learned, how fast performance increases, and sometimes, even that the material is learned at all. This volume explores some of the foundational topics in this area of intersection between psychology, machine learning, and others.
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Multitasking Mind

by Dario D. Salvucci e Niels A. Taatgen

52,99€ + 10% CARD

 Multitasking is all around us: the office worker interrupted by a phone call, the teenager texting while driving, the salesperson chatting while entering an order. When multitasking, the mind juggles all the many tasks we''re doing this second, this hour, this week, and tries to perform them together-sometimes with great ease, sometimes with great difficulty. We don''t often stop to think about how exactly we accomplish these feats of multitasking great and small. How do we switch from one task to another? What types of multitasking are disruptive, and when are they most disruptive? And ultimately, how can we take advantage of the benefits of multitasking while alleviating its negative effects in our daily lives?This book presents the theory of threaded cognition, a theory that aims to explain the multitasking mind. The theory states that multitasking behavior can be expressed as cognitive threads-independent streams of thought that weave through the mind''s processing resources to produce multitasking behavior, and sometimes experience conflicts to produce multitasking interference. Grounded in the ACT-R cognitive architecture, threaded cognition incorporates computational representations and mechanisms used to simulate and predict multitasking behavior and performance.The book describes the implications of threaded cognition theory across three traditionally disparate domains: concurrent multitasking (doing multiple tasks at once), sequential multitasking (interrupting and resuming tasks), and multitask skill acquisition (learning and practicing multiple tasks). The work stresses the importance of unifying basic and applied research by alternating between in-depth descriptions of basic research phenomena and broader treatments of phenomena in applied domains, such as driver distraction and human-computer interaction. The book also includes practical guidelines for designers of interactive systems intended for multitasking contexts.
ENGLISH

Principles Of Synthetic Intelligence - Psi: An Architecture Of Motivated Cognition

by Joscha Bach

76,84€ + 10% CARD

 From the Foreword:"In this book Joscha Bach introduces Dietrich D?rner''s PSI architecture and Joscha''s implementation of the MicroPSI architecture. These architectures and their implementation have several lessons for other architectures and models. Most notably, the PSI architecture includes drives and thus directly addresses questions of emotional behavior. An architecture including drives helps clarify how emotions could arise. It also changes the way that the architecture works on a fundamental level, providing an architecture more suited for behaving autonomously in a simulated world. PSI includes three types of drives, physiological (e.g., hunger), social (i.e., affiliation needs), and cognitive (i.e., reduction of uncertainty and expression of competency). These drives routinely influence goal formation and knowledge selection and application. The resulting architecture generates new kinds of behaviors, including context dependent memories, socially motivated behavior, and internally motivated task switching. This architecture illustrates how emotions and physical drives can be included in an embodied cognitive architecture.The PSI architecture, while including perceptual, motor, learning, and cognitive processing components, also includes several novel knowledge representations: temporal structures, spatial memories, and several new information processing mechanisms and behaviors, including progress through types of knowledge sources when problem solving (the Rasmussen ladder), and knowledge-based hierarchical active vision. These mechanisms and representations suggest ways for making other architectures more realistic, more accurate, and easier to use.The architecture is demonstrated in the Island simulated environment. While it may look like a simple game, it was carefully designed to allow multiple tasks to be pursued and provides ways to satisfy the multiple drives. It would be useful in its own right for developing other architectures interested in multi-tasking, long-term learning, social interaction, embodied architectures, and related aspects of behavior that arise in a complex but tractable real-time environment.The resulting models are not presented as validated cognitive models, but as theoretical explorations in the space of architectures for generating behavior. The sweep of the architecture can thus be larger-it presents a new cognitive architecture attempting to provide a unified theory of cognition. It attempts to cover perhaps the largest number of phenomena to date. This is not a typical cognitive modeling work, but one that I believe that we can learn much from."--Frank E. Ritter, Series EditorAlthough computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition-- they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is PSI theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, PSI contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that PSI''s origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.

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